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Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China
Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China
Summary
Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China is a scholarly article[1].
Key Facts
Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-benefits-and-avoiding-pitfalls-of-3d-computational-modeling-based-machine-learning-prediction-for-exploration-t
MLA“Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-benefits-and-avoiding-pitfalls-of-3d-computational-modeling-based-machine-learning-prediction-for-exploration-t.
BibTeX@misc{4ortxyz_applying-benefits-and-avoiding-pitfalls-of-3d-computational-modeling-based-machine-learning-prediction-for-exploration-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China}}, year = {2026}, url = {https://4ort.xyz/entity/applying-benefits-and-avoiding-pitfalls-of-3d-computational-modeling-based-machine-learning-prediction-for-exploration-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying benefits and avoiding pitfalls of 3D computational modeling-based machine learning prediction for exploration targeting: Lessons from two mines in the Tongling-Anqing district, eastern China — https://4ort.xyz/entity/applying-benefits-and-avoiding-pitfalls-of-3d-computational-modeling-based-machine-learning-prediction-for-exploration-t (retrieved 2026-05-24)
